Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

A Probability Structure for Growth Curves

G. F. Krause, P. B. Siegel and D. C. Hurst
Biometrics
Vol. 23, No. 2 (Jun., 1967), pp. 217-225
DOI: 10.2307/2528157
Stable URL: http://www.jstor.org/stable/2528157
Page Count: 9
  • Read Online (Free)
  • Download ($14.00)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Probability Structure for Growth Curves
Preview not available

Abstract

A conditional probability density for body-weight of chickens is derived by making a priori assumptions about the probability densities of the descriptive parameters. This formulation incorporates the idea that animal to animal genetic differences, which dictate growth and hence the parameters in the describing function, can be realized as a sampling of parameters from the a priori distributions. The closed form is evaluated numerically in an example to obtain ordinates and the first four moments of each conditional density. These moments reflect the typical mean and variance structure of body weights as age increases. As a result of the formulation, multivariate techniques are suggested as a means of comparing growth curves.

Page Thumbnails

  • Thumbnail: Page 
217
    217
  • Thumbnail: Page 
218
    218
  • Thumbnail: Page 
219
    219
  • Thumbnail: Page 
220
    220
  • Thumbnail: Page 
221
    221
  • Thumbnail: Page 
222
    222
  • Thumbnail: Page 
223
    223
  • Thumbnail: Page 
224
    224
  • Thumbnail: Page 
225
    225